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373 results for “November”
Videos of lava flows on 16th November 2021 at the South Delta of the 2021 Cumbre Vieja eruption (La Palma, Canary Islands).
<p>Videos of field observations made on 16th November 2021 at 15:00 UTC from a point (UTM coordinates 28-R, 213992, 3167808 ) on the coastline of the South lava delta formed during the 2021 eruption of Cumbre Vieja volcanic rift at La Palma (Canary Islands).</p> <p>Video 1 shows a high-mobility lava flowed down the marine cliff over a well-developed ramp.</p> <p>Video 2 shows the ocean entrance of the lava flow, accompanied by the formation of a large gas plume in which vertical steam jets containing dark particulate matter. These jets, up to 10 m high, included lava fragments of diameter >10 cm that were projected to a maximum of 10–15 m away, following ballistic trajectories until falling into the sea and often leaving traces of white steam behind them. </p>
Month-to-month proportion of LSD-vaccinated animals at regional level (NUTS3) in south-eastern Europe since January 2016 until November 2017 and reported LSD outbreaks
<p>The European Food Safety Authority (EFSA), under request of the European Commission, performed an epidemiological analysis of the lumpy skin disease (LSD) epidemics based on the data collected from the affected and at-risk Member States and non-EU countries in south-eastern Europe. The video at the link below shows the month-to-month proportion of LSD-vaccinated animals at regional level (NUTS3) since January 2016 until November 2017 and reported LSD outbreaks per month (red dots are the new outbreaks each month, grey dots are past outbreaks).</p> <p> </p> <p>*This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo Declaration of Independence.</p>
Spatio-temporal distribution of LSD outbreaks in the Balkan region since deecember 2016 until November 2017 and cattle density (animals/square km)
<p>The European Food Safety Authority (EFSA), under request of the European Commission, performed an epidemiological analysis of the lumpy skin disease (LSD) epidemics based on the data collected from the affected and at-risk Member States and non-EU countries in south-eastern Europe. Spatial and temporal (monthly) distribution of LSD outbreaks reported in the Balkan region between December 2016 and November 2017 and cattle density (animals/square km) shown as green shade (for Bosnia and Herzegovina data at regional level are not available). LSD outbreaks were reported in this time frame only in Albania, the former Yugoslav Republic of Macedonia and Greece. Red and grey dots indicate new and past outbreaks, respectively.</p> <p>*This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo Declaration of Independence</p>
GNSS Ground Monitoring Data of the Hongyanzi Landslide Area in China from November 11, 2021 to June 4, 2022
<p>This dataset comprises Global Navigation Satellite System (GNSS) ground monitoring data collected from five distinct locations within the Hongyanzi landslide area in China. The data spans a critical time period from November 11, 2021, to June 4, 2022, providing valuable insights into the temporal deformation behavior of the landslide.</p> <p>To enhance the applicability and comparability of these GNSS measurements, we have processed the raw three-dimensional (3D) displacement vectors and projected them onto the Line-Of-Sight (LOS) direction of Interferometric Synthetic Aperture Radar (InSAR) observations. This transformation facilitates direct comparisons between the GNSS-derived deformation rates and those derived from InSAR data, enabling a more comprehensive understanding of the landslide dynamics.</p> <p>The dataset includes:</p> <ul> <li><strong>Time series of 1D displacement measurements</strong> along the InSAR LOS direction for each of the five GNSS stations.</li> </ul> <p>The high-resolution temporal coverage of this dataset, coupled with the transformation to the InSAR LOS direction, makes it an invaluable resource for researchers investigating the geomechanics of the Hongyanzi landslide, as well as for validation and calibration of remote sensing-based deformation monitoring techniques.</p> <p><strong>Potential Uses</strong>:</p> <ul> <li>Validation of InSAR-derived deformation maps and velocity fields.</li> <li>Study of landslide kinematics and triggering mechanisms.</li> <li>Integration with other geophysical and geological datasets for comprehensive hazard assessments.</li> <li>Development and testing of advanced deformation monitoring and early warning systems.</li> </ul> <p><strong>Access and Citation</strong>:<br>This dataset is freely available for research purposes under the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener noreferrer">Creative Commons Attribution 4.0 International License</a>. Please cite this dataset using the following reference (to be filled in upon upload completion):</p> <p>Aoqing Guo, 2024. GNSS Ground Monitoring Data for the Hongyanzi Landslide Area in China: Transformed to InSAR LOS Direction (November 11, 2021 - June 4, 2022). Zenodo. 10.5281/zenodo.13254357.</p>
Data to support "Reduced winter-time Clear Air Turbulence in the trans-Atlantic region under Stratospheric Aerosol Injection by Katie L Barnes, Anthony C Jones, Paul D Williams and James M Haywood, Submitted to Geophysical Research Letters, November 2024"
<p>This dataset contains all the UKESM1 climate model output needed to reproduce Figures 1-4 in the paper "Reduced winter-time Clear Air Turbulence in the trans-Atlantic region under Stratospheric Aerosol Injection by Katie L Barnes, Anthony C Jones, Paul D Williams and James M Haywood, Submitted to Geophysical Research Letters, November 2024". UKESM1 is the Met Office Earth System Model (N96 resolution) with simulations using a fully-coupled ocean-atmosphere following CMIP6 protocol.</p> <p>All files are CF-1.7 compliant and in NetCDF format with appropriate metadata. Each file contains 6 hourly data for the 30 simulated years used in the paper (50 for the pre-industrial control period).</p> <p>The following simulations are included, following ScenarioMIP and GeoMIP specifications:</p> <p>Folder | Simulation name | Time period<br>-------------------------------------------------------------<br>piControl | PiControl | 2250-2299<br>historical | Historical | 1985-2014<br>ssp245 | SSP2-4.5 | 2070-2099<br>ssp585 | SSP5-8.5 | 2070-2099<br>g6sulfur | G6sulfur | 2070-2099</p> <p>The files use CMIP-like naming conventions.</p> <p>VARIABLE_LEVEL_TIMEPERIOD_MODEL_EXPERIMENT_STARTDATE-ENDDATE_SEASON.nc</p> <p>The variables comprise:</p> <p>Short name | Description (units, if any)<br>-------------------------------------------------------------<br>ua | zonal wind (m.s-1)<br>va | meridional wind (kg.m-3)<br>ta | air temperature (K)</p> <p>All figures in the paper were produced using Python (3.11) and Iris scientific analysis software.</p> <p>All data is Crown Copyright, Met Office, and is made available under the terms of the Non-Commercial Government Licence: http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/</p> <p>Description of the UKESM1 model is provided in Sellar, A. A., et al.: UKESM1: Description and evaluation of the U.K. Earth System Model. Journal of Advances in Modeling Earth Systems, 11, 4513–4558. https://doi.org/10.1029/2019MS001739, 2019.</p> <p>Description of the ScenarioMIP specifications are provided here: O'Neill, B. C., et al.: The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6, Geosci. Model Dev., 9, 3461–3482, https://doi.org/10.5194/gmd-9-3461-2016, 2016.</p> <p>Description of G6sulfur is provided here: Kravitz, B., et al. : The Geoengineering Model Intercomparison Project Phase 6 (GeoMIP6): simulation design and preliminary results, Geosci. Model Dev., 8, 3379–3392, https://doi.org/10.5194/gmd-8-3379-2015, 2015. </p>
Volker Mahnert in the pseudoscorpion collection of the MHNG (photo P. Schwendinger). in Volker Mahnert 3 December 1943 – 23 November 2018
Volker Mahnert in the pseudoscorpion collection of the MHNG (photo P. Schwendinger).
Volker Mahnert in photo-ambush for fish gasping for air in Paraguay (photo C. Vaucher). in Volker Mahnert 3 December 1943 – 23 November 2018
Volker Mahnert in photo-ambush for fish gasping for air in Paraguay (photo C. Vaucher).
Volker and Anka Mahnert (photo A. Mahnert). in Volker Mahnert 3 December 1943 – 23 November 2018
Volker and Anka Mahnert (photo A. Mahnert).
TESS-NOVEMBER-2018
<p>Measurements taken by the European Photometer Network (Project STARS4ALL). November 2018</p>
PERTEMUAN 9_ 07 NOVEMBER 2022_PENGENDALIAN BIAYA TENAGA KERJA, AKUNTANSI BIAYA _UNIVERSITAS GRESIK JAM 20.00-21.30
<p><strong>Capaian Pembelajan Mata Kuliah (CPMK)</strong></p> <p>Setelah megikuti perkuliahan ini mahasiswa Mampu menghitung dan mengerjakan Pengendalian: Biaya Tenaga Kerja</p> <p><strong>Indikator Pembelajaran</strong></p> <p>1. Karakteristik tenaga kerja</p> <p>2. Pengendalian biaya tenaga kerja</p> <p>3. Produktivitas tenaga kerja</p> <p>4. Pengukuran produktivitas</p> <p>5. Tuntutan mutu</p> <p>6. Akunntansi biaya tenaga kerja</p> <p>7. Rencana upah insentif</p> <p>8. Kurva belajar</p> <p>9. Latihan kasus</p> <p><strong>Pengertian Tenaga Kerja</strong></p> <p>Biaya tenaga kerja adalah jumlah upah dan gaji yang dibayarkan kepada para pekerja (labour cost). Biaya tenaga kerja adalah untuk pembayaran yang dinamakan “upah”. Beda halnya dengan Gaji. Jika gaji merupakan pembayaran kepada tenaga kerja atau karyawan yang didasarkan pada rentang waktu seperti gaji mingguan, bulanan dan lain sebagainya. Sedangkan, upah dibebankan melalui rekening biaya tenaga kerja langsung, dan gaji dibebankan melalui rekening biaya overhead pabrik.</p>
PERTEMUAN 7_02 NOVEMBER 2022_Manajemen Kas Daerah_STIESIA SUBABAYA JAM 18.00-21.00
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Setelah menempuh mata kulian ini mahasiswa mampu menganalisis (C4) pelaporan keuangan sektor publik dan mengevaluasi (C5) penerapan kebijakan manajemen keuangan dalam proses pengambilan keputusan di berbagai kegiatan sektor publik dan terampil (P5) merancang dan mengimplementasikan berbagai taktik dalam manajemen keuangan sektor publik secara mandiri dan bertanggung jawab (A4)</p> <p> </p> <p>Mahasiswa mampu memahami tujuan dan siklus manajemen kas daerah, serta ruang lingkup dan anggaran kas daerah</p>
PERTEMUAN 6_03 NOVEMBER 2022_Pelunasan PPh dalam Tahun Berjalan_PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA_JAM 8.00-10.00
<p><strong>Capaian Pembelajaran Mata Kulah (CPMK)</strong></p> <p>Mahasiswa mampu menjelaskan Gambaran Umum Pelunasan PPh Dalam Tahun Berjalan</p> <p><strong>Gambaran Umum Pelunasan PPh Dalam Tahun Berjalan:</strong></p> <p>Pelunasaan melalui pemotong an/ pemungutan oleh pihak lain (PPh Pasal 21/26, PPh Pasal 22, PPh Pasal 23/26, PPh Pasal 24, PPh Final Pasal 4 ayat 2 dan lain-lain)</p>
PERTEMUAN 9_07 NOVEMBER 2022_Penjualan Konsinyasi Untuk Pengamanat_AKL1_JAM 18.00-20.00
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Mahasiswa Mampu mengetahui dan menghitung Akuntansi Penjualan Konsinyasi Untuk Pengamanat (Consignor)</p> <p><strong>Indikator Pembelajaran</strong></p> <p>1. Pendahuluan</p> <p>2. Akuntansi Konsinyasi Pengamanat Dengan Menggunakan Metode Laba Terpisah</p> <p>3. Akuntansi Konsinyasi Untuk Pengamanat Dengan Menggunakan Metode Laba Tak Terpisah</p> <p>4. Latihan kasus</p>
PERTEMUAN 7_10 nOVEMBER 2022_MODEL KESEIMBANGAN :CAPITAL ASSETS PRICING MODEL DAN ARBITRAGE PRICING THEORY_AIMR_JAM 18.00-21.30
<p><strong>Capaian Pembelajaran Mata Kuliah (CPM</strong></p> <p>Mahasiswa mampu Memahami:Model-model Keseimbangan: Capital Assets Pricing Model dan Arbitrage Pricing Theory</p> <p><strong>Indikator Pembelajaran</strong></p> <p>Model-model Keseimbangan: Capital Assets Pricing Model</p> <p>Arbitrage Pricing Theory</p>
PERTEMUAN 10_14 NOVEMBER 2022_Akuntansi Penjualan Konsinyasi Untuk Komisioner (Consignee)_AKL1_UNIVERSITAS GRESIK_JAM 18.00-20.00
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Setelah megikuti perkuliahan ini mahasiswa Mampu menghitung Akuntansi Penjualan Konsinyasi Untuk Komisioner (Consignee)</p> <p><strong>Indikator Pembelajaran</strong></p> <p>1. Pendahuluan</p> <p>2. Akuntansi Konsinyasi Untuk Komisioner Dengan Menggunakan Metode Laba Terpisah</p> <p>3. Masalah Uang Muka Dalam Penjualan Konsinyasi</p> <p>4. Akuntansi Konsinyasi Untuk Komisioner</p> <p>5. Latihan kasus</p>
PERTEMUAN KE 9_20 NOVEMBER 2022_PERENCANAAN STRATEGIS_SPM_JAM 6.30-9.00_STIESIA SURABAYA
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Setelah menempuh mata kulian ini mahasiswa mampu <strong>menganalisis</strong> lingkungan pengendalian manajemen, proses pengendalain manajemen dan variasi dalam pengendalain manajemen dan mampu <strong>mendesain </strong>serta mampu <strong>memanfaatkan</strong> secara optimal sistem pengendalian manajemen untuk mendukung fungsi Controller</p> <p>Mahasiswa mampu menerapkan perencanaan strategis</p> <p><strong>Indikator Pembelajaran</strong></p> <p>1. Mengemukakan karakteristik perencanaan strategis</p> <p>2. Mengemukakan program-program baru yang diusulkan dan menganalisis program baru yang berjalan</p> <p>3. Mengemukakan proses perencanaan strategis</p>
PERTEMUAN 10_15 NOVEMBER 2022_PENGENDALIAN BIAYA TENAGA KERJA_AKUNTANSI BIAYA_PRODI MANAJEMEN_JAM 20.00-21.30
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>mahasiswa Mampu menghitung dan mengerjakan Pengendalian: Biaya Tenaga Kerja</p> <p><strong>Indikator Pembelajaran</strong></p> <p>1. Karakteristik tenaga kerja</p> <p>2. Pengendalian biaya tenaga kerja</p> <p>3. Produktivitas tenaga kerja</p> <p>4. Pengukuran produktivitas</p> <p>5.Tuntutan mutu</p> <p>6. Akunntansi biaya tenaga kerja</p> <p>7. Rencana upah insentif</p> <p>8. Kurva belajar</p> <p>9. Latihan kasus</p>
PERTEMUAN 8_17 NOVEMBER 2022_EFISIENSI PASAR MODAL_ANALISIS INVESTASI DAN MANAJEMEN RISIKO (AIMR)_PASCA MM_UNIVERSITAS WIJAYA PUTRA
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Mahasiswa mampu menjelaskan : Efisiensi Pasar Modal</p> <p><strong>A</strong><strong>pa itu Efisiensi Pasar Modal?</strong></p> <p><strong>Fama (1970)</strong>, <em>a market is efficient when “stock price” is always fully reflect all available information. </em>Pasar efisien ketika “harga saham” selalu sepenuhnya mencerminkan semua informasi yang tersedia.</p> <p></p> <p><strong> Husnan (2005)</strong>, pasar modal yang efisien merupakan <strong>pasar yang harga</strong><strong>-</strong><strong>harga sekuritas-sekuritasnya telah mencerminkan semua informasi yang relevan</strong>. Semakin cepat informasi baru tercermin pada harga sekuritas, maka semakin efisien pasar tersebut.</p> <p></p> <p><strong>Tandelilin (2017),</strong> <strong>konsep</strong><strong> </strong><strong>pasar</strong><strong> yang </strong><strong>efisien</strong><strong> </strong><strong>lebih</strong><strong> </strong><strong>ditekankan</strong><strong> </strong><strong>pada</strong><strong> </strong><strong>aspek</strong><strong> </strong><strong>informasi</strong>, artinya pasar yang efisien adalah pasar dimana harga sekuritas yang<br> diperdagangkan telah mencerminkan semua informasi yang tersedia.</p>
KASUS PENGENDALIAN BAHAN BAKU_AKUNTANSI BIAYA_UNIVERSITAS GRESIK_FAKULTAS EKONOMI_NOVEMBER_2022
<p><strong>Pengedalian Bahan Baku</strong></p> <p>KARATERISTIK BAHAN BAKU</p> <p>Bahan baku adalah bahan dasar yang diolah menjadi produk selesai, bahan baku ini dapat di bagi menjadi : Bahan Baku Langsung, bahan baku langsung ini mempunyai ciri :</p> <ol> <li>Mudah ditelusuri ke produk selesai</li> <li>Merupakan bahan utama produk selesai</li> <li>Dapat diindentifikasi langsung ke proses produksi setiap produk</li> </ol> <p>Bahan Baku Langsung adalah selain bahan baku langsung yang digunakan dalam proses produksi dab biaya ini di pandang sebagai biaya overhead</p>
PERTEMUAN 11_20 NOVEMBER 2022_KONSINYASI YANG BELUM TERJUAL SAMPAI AKHIR PERIODE_AKL1_UNIVERSITAS GRESIK_JAM 18.00-20.00
<p><strong>Capaian Pembelajaran Mata Kulaih (CPMK)</strong></p> <p>Setelah megikuti perkuliahan ini mahasiswa Mampu mengerjakan Perhitungan Masalah Barang Konsinyasi Yang Belum Terjual Sampai Akhir</p> <p><strong>Indikator Pembelajaran</strong></p> <p>1. Pendahuluan</p> <p>2. Barang Konsinyasi Yang Belum Terjual Pada Akhir Periode Untuk Pengamanat</p> <p>3. Barang Konsinyasi Yang Belum Terjual Pada Akhir Periode Untuk Komisioner</p> <p>4. Latihan kasus</p>
ScienceDex guides
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